Objective To estimate the prevalence rate and risk factors of diabetic retinopathy (DR) in rural residents in Shandong．Methods A total of 16 330 residents in 8 counties in Shandong province underwent the screening of diabetes by multistage randomized clustersampling; while the standard of diagnosis of diabetes was in accordance with the WHO standard (1990). Diabetes was diagnosed in 707 residents who then underwent questionnaire survey and examinations of fasting bloodglucose，urine protein, visual acuity, slitlamp microscope, and direct opthalmoscope. The standard of DR screening was drawn according to the international DR classification (2002). The data were statistically analyzed with SPSS 11.5 software. Results In 16 330 residents,707 were with diabetes (4.33%), 26.30% of them (181 cases) had DR (1.11% of all the residents). Multivariable analysis showed that kidney damage, hypertension and high blood glucose were the risk factors for DR; while the age, sex, and family history were not related much to DR. Conclusion The prevalence rate of DR in rural residents of Shandong is high. Kidney involvement, hypertension and high blood glucose are the risk factors of DR.
Objective To estimate the prevalence of diabetic retinopathy (DR) in residents at the age of ge; 60 years in Beixinjing blocks, Shanghai, and to analyze the changes and risk factors of the occurrence of DR while comparing with the previous epidemiology study in the same blocks in 2003.Methods With the help of an established resident health data,a epidemiology study was performed on all of the old residents (ge; 60 years old) with diabetes mellitus from November 2007 to April 2008.The epidemiology data included resident common information, health check, examination of visual acuity,slitlamp biomicroscopy, direct ophthalmoscopy, and photography of 2 pictures covering 450 posterior ocular fundus area acquired by digital nonmydriasis fundus camera. The diagnosis of DR was drawn according to the international DR classification (2002). The DR grade was compared in 254 residents who were involved in both of the two epidemiology studies in 2003 and 2007.Chisquare method was used to analyze the risk factors of DR and stepwise logistic analysis was used for identifying the independent factors.Results A total of 483 diabetic residents was included in this study with the inclusion rate of 91.30%, in whom 121 DR patients was found with the DR prevalence of 25.05％. The prevalence of non-proliferative DR and proliferative DR was 22.36% and 2.69%, respectively. The duration of diabetes was confirmed as the independent risk factor of DR prevalence, and no risk factor was found to affect the different ratio of non-proliferative and proliferative DR. Comparing to the results of the study in 2003,the DR grade remained steadily or decreased in 92.52% of the 254 diabetes residents.Conclusion The prevalence of DR is high in the diabetic residents at the age of ge; 60 years.The intervention work of DR prevention in Beixinjing blocks is effective.
Chinese Guideline of Diabetic Retinopathy was developed by the Chinese Ocular Fundus Society and Chinese Ophthalmological Society. It is the first prevention and intervention guideline document of diabetic retinopathy (DR) in China. Clinical pathways and strategies are clearly identified and described in this document for DR screening, referral, intervention, systematic management and patient education. The new DR stage classification combines the first Chinese DR classification since 1985 and the updated international classification of DR. This guideline is based on Chinese health care system, but also reflects the tradition and innovation, and reaches international practice standard. Learning and practice the guideline will promote the prevention and reduce the occurrence and development of DR in China.
ObjectiveTo compare the consistency and difference of nonmydriatic ultrawide field retinal imaging system versus nonmydriatic 2-field 45°digital fundus photography system in a large-scale diabetic retinopathy (DR) screening. MethodsA total of 733 with type 2 diabetic patients (1466 eyes) underwent nonmydriatic ultrawide field retinal imaging and nonmydriatic 2-field 45°digital fundus photography examination. Two independent readers graded images respectively to determine the stage of DR. A third masked retinal specialist adjudicated discrepancies. Using nonmydriatic 2-field 45°digital fundus photography examination as the standard, the consistency of nonmydriatic ultrawide field retinal imaging was evaluated. The statistic index included sensitivity, specificity, Youden index and Kappa value. The difference of two methods was analyzed by comparative t-test. ResultsBased on nonmydriatic ultrawide field retinal imaging, the results were as follows: non DR (NDR) in 1062 eyes (74.1%), DR in 340 eyes (23.7%), ungradable in 32 eyes (2.2%). Among 340 DR eyes, there were mild nonproliferative DR (NPDR) in 48 eyes, moderate NPDR in 216 eyes, severe NPDR in 57 eyes, proliferative DR (PDR) in 19 eyes. Based on nonmydriatic 2-field 45°digital fundus photography, the results were as follows: NDR in 1080 eyes (75.3%), DR in 270 eyes (18.8%), ungradable in 84 eyes (5.6%). Among 270 DR eyes, there were NPDR in 36 eyes, moderate NPDR in 175 eyes, severe NPDR in 53 eyes, PDR in 6 eyes. Compared with nonmydriatic 2-field 45°digital fundus photography for screening DR, the sensitivity was 98.0%, the specificity was 95.0%, and the kappa value was 0.87. For screening severe NPDR and PDR, the sensitivity was 100.0%, the specificity was 99.0%, and the kappa value was 0.94. The DR detection rate and the ratio of the picture can't interpretation between two methods both had significant difference (P=0.00). ConclusionsIn rapid large-scale DR screening, there is high consistency between nonmydriatic ultrawide field retinal imaging versus nonmydriatic 2-field 45°digital fundus photography. Nonmydriatic ultrawide field retinal imaging is proved to be more adaptive, and more comprehensive and precise.
Diabetic retinopathy (DR) is one of the most common causes of visual impairment and blindness in diabetic patients. It is particularly important to set up simpler, safer, non-invasive and highly effective methods for diagnosis as well as monitoring DR. A variety of new fundus imaging techniques show great advantages in early diagnosis, treatment and monitoring of DR in recent years. The main characteristics of wide-field scanning laser imaging system is achieving a large range of retinal image in a single photograph and without mydriasis. It provides several options for color images, FFA and FAF, which satisfy to detect the retina, choroid and vascular structure. Multi spectral fundus imaging system is suitable for DR screening, because it is able to recognize the typical characteristics of DR, such as microaneurysms, hemorrhage and exudation, and is non-invasive and convenient. OCT angiography is a quantitative examination that provides foveal avascular zone area, macular blood flow density, which provides strong evidence for DR diagnosis. The improvement of these new techniques will help us to build up a personalized evaluation system of DR.
Optical coherence tomography angiography (OCTA) base on OCT with an algorithm that can image a high-resolution picture of retinal circulation. OCTA has allowed quantifying the characteristic lesions of diabetic retinopathy (DR) in early stage, such as fovea avascular zone, retinal vascular density and the counts of retinal microaneurysm. In addition, OCTA can objectively evaluate the progression and prognosis of DR in late stage through imaging involved retinal neovascularization. Understanding OCT angiography features of DR lesions with different course of the disease may provide reference value for the diagnosis and treatment of DR.
Objective To investigate the distribution patterns of diabetic macular edema (DME) based on optical coherence tomography (OCT), and explore its correlation with diabetic retinopathy (DR) stages and systemic factors. Methods A total of 135 patients (242 eyes) with type 2 diabetes were included in this retrospective study. There were 75 males (138 eyes) and 60 females (104 eyes), the ages were from 29 to 83 years, with an average age of (58.8±11.1) years. The general information such as height, weight, smoking history and blood glucose [such as glycosylated hemoglobin (HbA1c)], blood pressure, blood lipid, 24 hours urine protein and other examinations were collected. The diagnosis of DR and DME were made, and the staging of DR and typing of DME were performed based on fundus color imaging and OCT. DR were divided into mild non-proliferative DR (NPDR), moderate NPDR, severe NPDR and proliferative DR (PDR). DME were categorized into 4 types including sponge-like retinal swelling (SME), cystoid macular edema (CME), serous retinal detachment (SRD) and posterior hyaloid traction (PHT). The correlation between DME types and DR staging were analyzed byχ2 test and Fisher exact test. Multivariate logistic regression analysis was used to analyze the correlation between DME types and systemic factors. Results In 242 DR eyes the proportions of mild, moderate, severe NPDR and PDR were 30.99%, 32.64%, 23.14% and 13.23%, respectively. There were 199 eyes (82.23%) with DME. There were statistically significant differences in the proportion of DME in different stages of DR (χ2=21.077,P＜0.01). In the 199 eyes with DME, There were 165 eyes (68.18%) of SME, 22 eyes (9.09%) of CME, 7 eyes (2.89%) of SRD and 5 eyes (2.07%) of PHT. The distribution of DME patterns in different stages of DR was statistically significant (χ2=156.273,P＜0.01). Logistic regression analysis showed that the duration of diabetes, HbA1c and macroalbuminuria were independent risk factors for DME [odds ratio (OR)=1.090, 1.510, 4.123;P＜0.05], and were also independent for SME (OR=1.092, 1.445, 3.942;P＜0.05); HbA1c was an independent risk factor for SRD (OR=2.337,P＜0.05). Conclusions There are differences in the distribution of different DME types in each stage of DR. The duration of diabetes, HbA1c and macroalbuminuria were independent risk factors for DME and SME, and macroalbuminuria and HbA1c for CME and SRD.